Interconnected VCSEL-based photonic synapses for neuromorphic processsing architectures

Tools

Robertson, Joshua and Alanis, Juan Arturo and Hejda, Matej and Owen-Newns, Dafydd and Hurtado, Antonio; (2022) Interconnected VCSEL-based photonic synapses for neuromorphic processsing architectures. In: 2022 IEEE Photonics Conference (IPC). 2022 IEEE Photonics Conference (IPC) . IEEE. ISBN 978-1-6654-3487-4 (https://doi.org/10.1109/ipc53466.2022.9975497)

[thumbnail of Robertson-etal-IPC-2022-Interconnected-VCSEL-based-photonic-synapses-for-neuromorphic]
Preview
 Text. Filename: Robertson_etal_IPC_2022_Interconnected_VCSEL_based_photonic_synapses_for_neuromorphic.pdf
Accepted Author Manuscript
License: Strathprints license 1.0
Download (789kB)| Preview

Abstract

Pairs of interconnected brain-inspired photonic synapses (connected in-parallel and in-series) are developed using Vertical Cavity Surface Emitting Lasers (VCSELs). We discuss the operation of each configuration and demonstrate their capability to perform different spike-based processing tasks including information encoding, temporal filtering, and Multiply-and-Accumulate (MAC) operations.

ORCID iDs

Robertson, Joshua, Alanis, Juan Arturo, Hejda, Matej ORCID logoORCID: https://orcid.org/0000-0003-4493-9426, Owen-Newns, Dafydd and Hurtado, Antonio ORCID logoORCID: https://orcid.org/0000-0002-4448-9034;
CORE (COnnecting REpositories)